Browsing by Author "Lazizi, Aldjia"

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    Energy Management and Control of a Hybrid Water Pumping System with Storage
    (Pléiades Publishing, 2017) Lazizi, Aldjia; Kesraoui, Mohamed; Achour, Djalloul; Chaib, Ahmed
    This paper aims to define a control and management strategy for water pumping system which would be powered by a hybrid PV/diesel generator system with battery storage. The particularity of the proposed power management method is to ensure the water volume in need and to maximize the use of PV generator while limiting the use of the diesel generator. In order to capture the maximum power from PV generator, a fuzzy logic maximum power point tracking controller is applied. On the other hand, a PI regulator is used with a boost converter in order to adapt the voltage of the battery bank to the DC bus. The water flow of the pump is also controlled. The developed power management and control strategy has been implemented using SIMPOWER toolbox in Matlab/Simulink. The obtained satisfying simulation results prove the efficiency of the proposed solution that assures continuous supply of water and electricity
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    Fuzzy Logic Maximum Power Point Tracking Control for A Solar PV Module
    (2020) Lazizi, Aldjia; Kesraoui, Mohamed; Chaib, Ahmed
    In this paper, the fuzzy logic control for Maximum Power Point Tracking (MPPT) of a solar photovoltaic is presented. A photovoltaic system including a solar module, a DC/DC boost converter, a fuzzy MPP Tracker and a resistive load is modeled and simulated for various atmospheric conditions. The P-V characteristics are first obtained for various values of solar irradiation and temperature. Then the increased efficiency of the photovoltaic system using MPPT is computed and plotted. The fuzzy control method is compared with the Perturb/observe (P&O) method in one hand and with an Improved P&O technique using Artificial Neural Network (ANN) in the other hand.
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    Fuzzy logic MPPT control for a solar PV module applied to water pumping
    (Inder Science Publisher, 2016) Lazizi, Aldjia; Kesraoui, Mohamed; Chaib, Ahmed
    In this paper, the fuzzy logic control for maximum power point tracking (MPPT) of a solar photovoltaic (PV) module in water pumping application is presented. A PV system including a solar module, a DC/DC boost converter, a fuzzy MPP tracker and a resistive load is modelled and simulated for various atmospheric conditions. The P-V and I-V characteristics are first obtained for various values of solar irradiation and temperature. Also, the increased efficiency of the photovoltaic system using MPPT is computed and plotted. The fuzzy control method is compared with the perturb and observe (P&O) method in one hand and with an improved P&O technique using artificial neural network (ANN) in the other. The fuzzy MPP tracker is then applied to the water pumping system composed of a solar panel, DC/DC boost converter, DC/AC inverter, induction motor and centrifugal pump
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    Grid Connected Solar PV System: Modeling, Simulation and Experimental Tests
    (Elsevier, 2016) Kesraoui, Mohamed; Lazizi, Aldjia; Chaib, Ahmed
    In this paper a solar PV system is modeled, simulated and experimentally tested. Mathematical and electrical models have first been presented. A theoretical background which introduces the topic has been presented. The system's different components have also been described. Then a simulation work of the current voltage (I-V) characteristics and efficiency by using MATLAB/IMULINK has been performed. Finally a PV system installed in the Institute of energy systems and electrical drives at the Technical University of Vienna has been tested. Many disturbances and cases like blackout, load disconnection and islanded system have been investigated. In this mainly experimental work, three test situations have been performed and the corresponding measurements have been recorded. Results that have been obtained showed that the grid connected PV system responds adequately to all the applied disturbances
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    Modélisation, contrôle et gestion énergétique d’une installation de pompage solaire
    (2020) Lazizi, Aldjia
    Cette thèse, concerne la commande et la gestion d’énergie d’une chaine de pompage solaire. L’objectif des travaux présentés est de contribuer à l’étude d’un système de pompage photovoltaïque fonctionnant à sa puissance maximale et assurer sa gestion d’énergie avec d’autres sources. Dans ce sens, et pour que le système photovoltaïque fonctionne à sa puissance maximale, il doit comporter un étage d’adaptation associé à un algorithme MPPT. Dans notre étude, nous avons utilisé trois algorithmes MPPT, l’algorithme “Perturb and Observe” (P&O), puis l’algorithme P&O amélioré par les réseaux de neurones et enfin la logique floue. Dans le but d’avoir la possibilité de régler le débit d’eau, nous avons étudié le cas d’une chaine de pompage en utilisant un moteur asynchrone triphasé comme moteur d’entrainement dont la vitesse est commandée par la méthode direct du couple -Direct Torque Control – DTC- en se basant sur la caractéristique de proportionnalité entre la vitesse et le débit. Concernant la gestion d’énergie, un algorithme de gestion est développé pour un système de pompage équipé d’une source photovoltaïque et un banc de batterie et une source de secours diesel